Multistage Stochastic optimization / Georg Ch. Pflug, Alois Pichler.
Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
[2014]
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| Series: | Springer series in operations research.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas. They describe decision situations under uncertainty and with a longer planning horizon. This book contains a comprehensive treatment of today?s state of the art in multistage stochastic optimization. It covers the mathematical backgrounds of approximation theory as well as numerous practical algorithms and examples for the generation and handling of scenario trees. A special emphasis is put on estimation and bounding of the modeling error using novel distance concepts, on time consistency and the role of model ambiguity in the decision process. An extensive treatment of examples from electricity production, asset liability management and inventory control concludes the book. |
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| Physical Description: | 1 online resource (xiv, 301 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3319088424 9783319088426 3319088432 9783319088433 |
| ISSN: | 1431-8598 |